code: def test_random_walks_padded_1():
      max_depth = random.randint(2, 10)
  
      df = cudf.DataFrame()
      df["src"] = [1, 2, 4, 7, 3]
      df["dst"] = [5, 4, 1, 5, 2]
      df["wgt"] = [0.4, 0.5, 0.6, 0.7, 0.8]
  
      input_graph = cugraph.Graph(directed=True)
  
      input_graph.from_cudf_edgelist(
          df,
          source="src",
          destination="dst",
          edge_attr="wgt",
          renumber=True,
      )
  
      path_data, seeds = calc_random_walks(
          input_graph, max_depth=max_depth, use_padding=True
      )
  
      check_random_walks_padded(
          input_graph, path_data, seeds, max_depth
      )
  
file_path: cugraph/python/cugraph/cugraph/tests/sampling/test_random_walks.py
imports: import gc
  import random
  import pytest
  import networkx
  import cudf
  import cugraph
  from cudf.testing import assert_series_equal
  from cugraph.utilities import ensure_cugraph_obj_for_nx
  from cugraph.testing import SMALL_DATASETS, DEFAULT_DATASETS
label_desc: Use image node_id 8 for calling a global function with example usage: test_random_walks_padded_1() without return types